This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …

In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

Intelligent recognition methods for classifying non-stationary and non-invasive epileptic
diagnoses are essential tools in neurological research. Electroencephalogram (EEG) …

In recent years, the Internet of Things (IoT) paradigm has been widely applied across a
variety of industrial and consumer areas to facilitate greater automation and increase …

The present study opens an avenue for an improved holistic state of health. Several
parameters related to an individual's cognitive interactions to manage stress have been …

In vertical federated learning (VFL), multiple participants can collaborate in training a model
with distributed data features and labels managed by one of them. The cooperation provides …

The paper represents importance of performing data consistency operations with data sets,
where it is possible and essential. Producing vast amounts of data by the Internet of Things …

This article investigates the use of human brainwaves for user authentication. We used data
collected from 50 volunteers and leveraged the Support Vector Machine (SVM) as a …

The technology of wireless sensor networks (WSN) and the main problems that accompany
this technology are considered. Based on the analysis, the requirements for solving …

A study was undertaken to identify the missing skill and expertise of teachers and other
stakeholders in the field of EU cyber security regulatory documents and frameworks. In order …